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The PhD face recognition toolbox

4.5 | 11 ratings Rate this file 74 Downloads (last 30 days) File Size: 2.54 MB File ID: #35106 Version: 1.0
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The PhD face recognition toolbox


Vitomir Struc (view profile)


Useful functions for face recognition research.

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The PhD (Pretty Helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition. The toolbox was produced as a byproduct of my research work and is freely available for download.

The PhD toolbox features implementations of several popular face recognition techniques, such as principal component analysis, linear discriminant analysis, kernel principal component analysis, or kernel fisher analysis. In addition to these techniques, it contains functions for Gabor filter construction, Gabor feature extraction, phase congruency computation and others. An important part of the toolbox are also the evaluation tools that allow for the construction of the most common performance curves (e.g., ROC, DET, CMC, EPC) used for evaluating face recognition systems.

In addition to the above, the toolbox also features a large number of demo scripts that demonstrate how to use the functions from the toolbox in face recognition experiments using a real database. These scripts demonstrate the complete procedure of building and testing face recognition systems based on Gabor filters and subspace projection techniques.


This file inspired Mppt Fuzzy Logic Controller For Pv.

MATLAB release MATLAB 7.11 (R2010b)
Other requirements I have not checked whether the toolbox contains any dependencies (the Image processing toolbox may be needed). Some of the demo scripts require that you download the ORL database.
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Comments and Ratings (12)
21 Feb 2017 mahsa saffari

22 Apr 2016 Shuzhi Yang

04 Jan 2016 hend

hend (view profile)

01 Sep 2015 Abdulwaheed Ademola


21 Nov 2014 Anry

Anry (view profile)

very helpful toolbox. thanks a lot

07 Jul 2014 Cem

Cem (view profile)

A great package. And Vito is a great adviser. Thank you.

Package needs a m file called normrc from the Neural Networks toolbox. But you can obtain it from other sources or write one yourself.

17 Feb 2014 haem

haem (view profile)

18 Aug 2013 sivareddy

great job

Comment only
22 Oct 2012 Sashi Kanth .....

great tool box...

16 Aug 2012 Ashwin

Ashwin (view profile)

Awesome toolbox, the name tells the story

29 May 2012 Janez

Janez (view profile)

Great toolbox and even better documentation!

29 May 2012 thet aung

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